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Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she nas pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = 6, + 6,Unemployment + 6,Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df SS MS Significance F Regression Residual Total 55.5974 27.7987 9.491 0.002 14 41.0038 2.9288 16 96.6010 Standard Coefficients Еггor t Stat P-value Intercept Unemployment Advertising 12.1640 3.6640 3.3200 0.005 -0.6615 0.3005 -2.2010 0.045 0.0258 0.0087 2.9660 0.010 a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales. O Họ: 81 = 62 = 0; HẠ: At least one 6; # 0 O Họ: 81 = 62 = 0; HA: At least one 6, > 0 O Hạ: 61 = 62 = 0; Ha: At least one 6, < 0

Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she nas pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = 6, + 6,Unemployment + 6,Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df SS MS Significance F Regression Residual Total 55.5974 27.7987 9.491 0.002 14 41.0038 2.9288 16 96.6010 Standard Coefficients Еггor t Stat P-value Intercept Unemployment Advertising 12.1640 3.6640 3.3200 0.005 -0.6615 0.3005 -2.2010 0.045 0.0258 0.0087 2.9660 0.010 a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales. O Họ: 81 = 62 = 0; HẠ: At least one 6; # 0 O Họ: 81 = 62 = 0; HA: At least one 6, > 0 O Hạ: 61 = 62 = 0; Ha: At least one 6, < 0

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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I would like for you to answer c-1, c-2, and c-3
c-2. Find the p-value. O p-value < 0.01 O pvalue 2 010 O 0.05 s p-value < 0.10 O 0.025 s p-value < 0.05 O 0.01 s p-value < 0.025 c-3. At the 1% significance level, what is the conclusion to the test? O Reject Ho i we can conclude that Advertising is positively related to Sales. O Do not reject Hoi we can conclude that Advertising is positively related to Sales. O Do not reject Ho i we cannot conclude that Advertising is positively related to Sales. O Reject Ho: we cannot conclude that Advertising is positively related to Sales.
Transcribed Image Text:c-2. Find the p-value. O p-value < 0.01 O pvalue 2 010 O 0.05 s p-value < 0.10 O 0.025 s p-value < 0.05 O 0.01 s p-value < 0.025 c-3. At the 1% significance level, what is the conclusion to the test? O Reject Ho i we can conclude that Advertising is positively related to Sales. O Do not reject Hoi we can conclude that Advertising is positively related to Sales. O Do not reject Ho i we cannot conclude that Advertising is positively related to Sales. O Reject Ho: we cannot conclude that Advertising is positively related to Sales.
Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she has pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = 69 + 6,Unemployment + 6,Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df SS MS Significance F Regression Residual 55.5974 27.7987 9.491 0.002 14 41.0038 2.9288 Total 16 96.6010 Standard Coefficients Error t Stat p-value 0.005 Intercept Unemployment Advertising 12.1640 3.6640 3.3200 -0.6615 0.3005 -2.2010 0.045 0.0258 0.0087 2.9660 0.010 a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales. O Ho: 8, = 6, = 0; HA: At least one 6; # 0 O Ho: 61 = 62 = 0; HA: At least one 6, > 0 O Ho: 61 = 62 = 0; HA: At least one 6, < 0
Transcribed Image Text:Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona. Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she has pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = 69 + 6,Unemployment + 6,Advertising + E. A portion of the regression results is shown in the accompanying table. ANOVA df SS MS Significance F Regression Residual 55.5974 27.7987 9.491 0.002 14 41.0038 2.9288 Total 16 96.6010 Standard Coefficients Error t Stat p-value 0.005 Intercept Unemployment Advertising 12.1640 3.6640 3.3200 -0.6615 0.3005 -2.2010 0.045 0.0258 0.0087 2.9660 0.010 a-1. Choose the appropriate hypotheses to test whether the explanatory variables jointly influence sales. O Ho: 8, = 6, = 0; HA: At least one 6; # 0 O Ho: 61 = 62 = 0; HA: At least one 6, > 0 O Ho: 61 = 62 = 0; HA: At least one 6, < 0
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